Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments

Autor: Pullar-Strecker, Zac, Chang, Xinglong, Brydon, Liam, Ziogas, Ioannis, Dost, Katharina, Wicker, Jörg

Running complex sets of machine learning experiments is challenging and time-consuming due to the lack of a unified framework. This leaves researchers forced to spend time implementing necessary features such as parallelization, caching, and checkpoi

Externí odkaz: http://arxiv.org/abs/2304.09175

Synergetic effect of hexaferrite and reduced graphene oxide (rGO) in photothermal therapy and hyperthermia applications

Autor: Shabbir, Muhammad Jamshaid, Aqeel, Ruqyya, Hassan, Miqdad, Sadiq, Farhan, Sadiq, Imran, Bano, N., Hai, Abdul Moqeet, Pullar, Robert C., Raheel, Muhammad, Arif, Muhammad Talha, Saeed, Samreen, Riaz, Saira, Naseem, Shahzad

Publikováno v: In Synthetic Metals December 2024 309

Hitting the Target: Stopping Active Learning at the Cost-Based Optimum

Autor: Pullar-Strecker, Zac, Dost, Katharina, Frank, Eibe, Wicker, Jörg

Active learning allows machine learning models to be trained using fewer labels while retaining similar performance to traditional supervised learning. An active learner selects the most informative data points, requests their labels, and retrains it

Externí odkaz: http://arxiv.org/abs/2110.03802

Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model): a modelling study

Autor: Brown, Mark A., Davis, Gregory K., Parker, Claire, Walters, Barry N., Sass, Nelson, Ansermino, J. Mark, Cao, Vivien, Cundiff, Geoffrey W., von Dadelszen, Emma C.M., Douglas, M. Joanne, Dumont, Guy A., Dunsmuir, Dustin T., Hutcheon, Jennifer A., Joseph, K.S., Lalji, Sayrin, Lee, Tang, Li, Jing, Lim, Kenneth I., Lisonkova, Sarka, Lott, Paula, Menzies, Jennifer M., Millman, Alexandra L., Palmer, Lynne, Payne, Beth A., Qu, Ziguang, Russell, James A., Sawchuck, Diane, Shaw, Dorothy, Still, D. Keith, Ukah, U. Vivian, Wagner, Brenda, Walley, Keith R., Hugo, Dany, Gruslin, The late Andrée, Tawagi, George, Smith, Graeme N., Côté, Anne-Marie, Moutquin, Jean-Marie, Ouellet, Annie B., Lee, Shoo K., Duan, Tao, Zhou, Jian, Haniff, The late Farizah, Mahajan, Swati, Noovao, Amanda, Karjalainend, Hanna, Kortelainen, Alja, Laivuori, Hannele, Ganzevoort, J. Wessel, Groen, Henk, Kyle, Phillipa M., Moore, M. Peter, Pullar, Barbra, Bhutta, Zulfiqar A., Qureshi, Rahat N., Sikandar, Rozina, Bhutta, The late Shereen Z., Cloete, Garth, Hall, David R., van Papendorp, The late Erika, Steyn, D. Wilhelm, Biryabarema, Christine, Mirembe, Florence, Nakimuli, Annettee, Allotey, John, Thangaratinam, Shakila, Nicolaides, Kypros H., Ionescu, Olivia, Syngelaki, Argyro, de Swiet, Michael, Magee, Laura A., von Dadelszen, Peter, Akolekar, Ranjit, Walker, James J., Robson, Stephen C., Broughton-Pipkin, Fiona, Loughna, Pamela, Vatish, Manu, Redman, Christopher W.G., Barry, Sarah J.E., Kavanagh, Kimberley, Montgomery-Csobán, Tunde, Murray, Paul, Robertson, Chris, Tsigas, Eleni Z., Woelkers, Douglas A., Lindheimer, Marshall D., Grobman, William A., Sibai, Baha M., Merialdi, Mario, Widmer, Mariana, Montgomery-Csobán, Tünde, Barry, Sarah J E, Vivian Ukah, U, Payne, Beth A, Nicolaides, Kypros H, Hutcheon, Jennifer A, Magee, Laura A

Publikováno v: In The Lancet Digital Health April 2024 6(4):e238-e250

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